datasciencecoursera VS vtreat

Compare datasciencecoursera vs vtreat and see what are their differences.

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions. (by mGalarnyk)

vtreat

vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under choice of GPL-2 or GPL-3 license. (by WinVector)
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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datasciencecoursera vtreat
44 1
2,196 281
- 0.4%
0.0 3.0
about 1 year ago 9 months ago
HTML HTML
- GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

datasciencecoursera

Posts with mentions or reviews of datasciencecoursera. We have used some of these posts to build our list of alternatives and similar projects.

vtreat

Posts with mentions or reviews of vtreat. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing datasciencecoursera and vtreat you can also consider the following projects:

random-dose-of-knowledge - Using the latest Software Engineering practices to create a modern and simple app.

lme4cens - Simple Mixed Effect Models and Censoring

data-science-interviews - Data science interview questions and answers

intro_stats - Introduction to Statistics: an integrated textbook and workbook using R

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

my-little-crony - A visualization of the connections between Tory politicians and companies being awarded government contracts during the pandemic.

Data-science-best-resources - Carefully curated resource links for data science in one place

metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny

sololearn - Compilation of all SoloLearn courses with their respective projects and practices and all 72 code challenges for all 7 supported languages.